Sensitivity of BLANC to human-scored qualities of text summaries
2020-10-13Code Available1· sign in to hype
Oleg Vasilyev, Vedant Dharnidharka, Nicholas Egan, Charlene Chambliss, John Bohannon
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/PrimerAI/blancOfficialIn paperpytorch★ 97
Abstract
We explore the sensitivity of a document summary quality estimator, BLANC, to human assessment of qualities for the same summaries. In our human evaluations, we distinguish five summary qualities, defined by how fluent, understandable, informative, compact, and factually correct the summary is. We make the case for optimal BLANC parameters, at which the BLANC sensitivity to almost all of summary qualities is about as good as the sensitivity of a human annotator.